Triple
T34161616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eikthyrnir |
E876290
|
entity |
| Predicate | antlersFeed |
P178690
|
FINISHED |
| Object | rivers of the world |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: rivers of the world | Statement: [Eikthyrnir, antlersFeed, rivers of the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antlersFeed Context triple: [Eikthyrnir, antlersFeed, rivers of the world]
-
A.
antlersProduce
Indicates that antlers are the source or cause of producing something (such as a substance, effect, or outcome).
-
B.
antlersPresentIn
Indicates that antlers are physically present within or on the specified location or entity.
-
C.
antlerType
Indicates the specific kind or classification of antlers that an entity possesses or is associated with.
-
D.
antlerLength
Indicates the measured length of an entity’s antlers in some specified unit.
-
E.
antlerTinesTypicalCount
Indicates the usual or characteristic number of tines (points) present on an individual's antlers.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:54 a.m.